Columbia Journalism School Raises $15 Million to Help Establish New Tow Center for Digital Journalism
|Students gather to work on projects and socialize at Columbia's Graduate School of Journalism.
Image credit: Joe Fornabaio
With the matching requirement complete, Columbia’s Journalism School is now moving quickly to bring the vision of The Tow Foundation to fruition, first with an international search for the Center’s director. The new director, who will serve as a faculty member, will be involved in teaching graduate students; executing and overseeing original scholarly research; collaborating with and studying news organizations; developing and testing new models for creating and delivering information, along with business innovations to support those models; and advising on how to raise additional funds through research and program grants.
The Tow funding, along with gifts from its matching donors, provides the critical resources for the Journalism School to expand and build upon the recent curriculum initiatives that are already an integral part of the School’s academic programs to prepare students with much-needed skills in digital media reporting and production. The Journalism School is currently seeking additional funding to support the Center.
The Center’s primary mission will be to help provide the next generation of journalists with the skills and knowledge to lead professional journalism. The Center will devise and publicize innovative methods of digital reporting and presentation, to serve both established and new media companies. And, the Center will explore interactions between journalists and citizens, particularly as readers seek ways to judge the reliability, standards and credibility in media.
|Brown Institute for Media Innovation Grand Opening|
In Memoriam: Joseph F. Traub
Professor Joseph F. Traub, founder of the Computer Science department, died Monday, August 24, 2015 in Santa Fe, NM. He was 83. Most recently the Edwin Howard Armstrong Professor of Computer Science, Traub was an early pioneer in the field.
Traub's work on optimal algorithms and computational complexity applied to continuous scientific problems.